Senior Data Manager

Within GO Organization, Processes and Data, Chief Data Officer for Group Operations is in charge of driving internal AXA GO Data & AI transformation.
The focus of this job position to support Data & AI governance and data management activities across AXA GO Business Data Domains as well as delivering data contributions to transformation projects involving data and AI.

Mission:
As a Senior Data Manager , under the leadership of the Chief Data Officer, your mission is to support Business Data domains to build their data & AI roadmap, deploy data governance on their business-critical data and leveraging Data and AI as business enablers to achieve business objectives. You actively contribute to transformation projects of GO Business Divisions leveraging data as an asset, supporting AI technology adoption when needed ensuring data quality, ethics and compliance with privacy and security rules.

1- To leverage data and AI as business enablers:
Support Data Domains building their data and AI roadmap according to their business objectives
Identify the company business critical data and support Data Governance implementation accordingly
Work with system experts to document data maintaining IT data dictionary with necessary technical and functional information
Capitalize on external sources of data

2 - To ensure data quality & compliance with data privacy and security regulation:
Ensure data is consistent and organized according to the defined business rules, and that these rules are properly integrated into the information system
Monitor and enforce compliance with the requirements and rules on customer data
Define, implement and analyze key performance indicators to monitor master data quality
Provide guidance to individuals with stewardship responsibilities on Data across GO
Administrate the access to data to ensure data is used according to the privacy and security standards
Take part in data governance committees

3 - To support and advise teams in their use of data and AI:
Use data expertise to advise teams in the selection of the appropriate data and use of AI techniques
Deliver data contribution to projects in GO transformation project portfolio leveraging Data and AI
Act as an ambassador for good data management and assist data users in the data privacy related processes
Monitor data usage taking into account ethical use of AI

4 - To contribute to GO Divisions transformation projects
Ensure project deliverables regarding data are done according to GO Data frameworks and binding principles
Contribute to deliver project outcomes to bring expected business impact thanks to data and AI
Promote adoption of data & AI and communicate on successful data stories

Profile :
At least 10 years work experience required in Data Management with proven track record completed by 5 years of contributions in AI implementation projects

Technical & business skills:
Scientific training / IT (engineering school, master) with good notions in probability / statistics
Mastering Data Management practices as described for instance in the Data Management Book of Knowledge (DMBOK from DAMA), including Data Lifecycle Management across Core IT & Big Data ecosystems as well as Data Privacy & Security constraints
Good knowledge of one of business data domains (Information Technology, Legal/Compliance, Procurement, Finance, HR)
Good knowledge of Information systems and underlying technologies (databases, data lakes, data integration)
Mastering a Data Visualization Tool (PowerBI or other) and query languages
Knowledge of AI Techniques
Knowledge of prompting and Generative AI tools

Soft skills:
Ability to lead and coordinate a network of stakeholder from various backgrounds (data scientists, actuarial teams, data stewards, etc.)
Organizational skills and rigor in execution
Pragmatic, flexible and adaptable, able to work in ambiguous situations
Ability to move from abstract concepts to concrete
Ability to clearly articulate messages to a variety of audiences and to communicate complex ideas effectively - both verbally and in writing
Ability to influence others and move toward a common vision or goal
Ability to operate with different cultures
English proficiency
Capacity to contribute to team spirit and foster collaboration among team
Customer centricity
Results-oriented